I hail from a small city in central India (also called "Heart of India"). In 2016, I came to the United States for my Masters at NYU and ended up doing my PhD at UCSD, thanks to my MS advisor Prof. Shivendra Panwar, and my PhD guide Prof. Dinesh Bharadia. I miss the subway train and Indian food of New York, but, I like the weather and beaches of San Diego. Apart from research, I enjoy sketching and painting, play badminton, and often visit nearby hiking trails.
Enabling low latency and reliable VR over mmWave networks
We are developing a new optimization framework to transfer VR video over either WiFi or WiGig interface with high reliability and low latency.
Published poster at Mobicom 2018.
We analyze the impact of blockage by static buildings, mobile blockers as well as self-blockage by the user's body. Our results indicate that the minimum density of BS required to satisfy the Quality of Service (QoS) requirements of Ultra Reliable Low Latency Communication (URLLC) applications is mainly driven by reliability and latency constraints, rather than coverage or capacity requirements.
Collaborators: Rajeev Kumar, NYU
Papers: ITC 2018 and JSAC 2019
Code PDF Slides Thesis
We implemented 7 queue management schemes including ARED, CoDel, PIE, and SFQ on GENI testbed and analyzed their performances in residential settings.
Code SlidesHackXR Hackathon UCSD (May 2019)
Space Balls is a game where you can test your reflexes using audio and visual cues in a space-themed environment where balls attack you from all sides!
HackNYU Hackathon NYU (Feb 2018)
ALO is a robot which can self-navigate itself in a library whose map has been stored inside the robot. It can move around various shelves avoiding obstacles and people from its path.
Intel IoT Hackathon NYC (Dec 2016)
An IoT device that will help the Fire Department to detect if a public building or room has reached its occupant's limit.
Electronics Club IIT Kanpur (2014)
A platform which is balanced horizontally with the help of three motors, irrespective of the movement of the base at the bottom.
Mentor: Ozge Kaya
Developed beam training algorithm for initial access in mmWave Network. It allows the users to connect to the mmWave access point faster than the traditional exhaustive search scheme using directional beams. The algorithm is robust to channel variations, blockages, and user's mobility.
Mentor: Dr. Jianping Pan, Dept. of Computer Science
Studied state-of-the-art Rendezvous algorithms for Cognitive Radio Networks and obtained channel availability probability for cognitive users based on primary users location in a cellular model, which is used to evaluate the rendezvous performance in the practical conditions.
Step-1: Use Git-Bash in Windows (or terminal in Linux) and login to hpc as follow...
It's time to thank all the professors at IITK who guided us through the 4 years of the best period of our life...